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Probability of Multiple Failures
Date: 06/20/2002 at 21:56:14
From: Marzineh Farvon
Subject: Complete Probability in Calculus
If a car has 2 headlights with an average lifespan of 2500 hours,
whose probability of failure can be modeled by:
f(t) = 0 if t < 0 ;
f(t) = 1/u e ^(-t/u) if t >= 0;
for the mean value u = 2500, what is the probability that both lamps
will fail within 2500 hours, and what is the probability that both
will fail in a total of 2500 hours?
Date: 06/21/2002 at 07:27:50
From: Doctor Anthony
Subject: Re: Complete Probability in Calculus
The probability that either will fail within 2500 hours is
2500
probability = INT [(1/u)e^(-t/u).dt]
0
= (-u/u)e^(-t/u) from 0 to 2500
= -[e^(-1) - e^0]
= 1 - e^(-1)
= 0.63212
Assuming that multiple failures would be independent events, the
probability that BOTH fail within 2500 hours
probability = 0.63212^2
= 0.399576
To determine the probability that both will fail within a total of
2500 hours requires a little bookwork.
Using 'a' as the parameter the probability distribution function (PDF)
of the exponential distribution is
f(x) = ae^(-ax)
and similarly
g(y) = ae^(-ay)
Let
z = x + y
so
y = z - x
Let S(z) be the cumulative distribution function (CDF) of z = x + y.
S(z) = Prob(Z < z) = Prob(X+Y < z)
= INT [INT [f(x) g(y) dx dy]]
= INT [f(x)dx INT [g(y) dy]]
and differentiating S(z) with respect to z we obtain
S'(z) = s(z) = INT [f(x) g(z-x) dx]
z
s(z) = INT [dx ae^(-ax) ae^(-a(z-x))]
0
z
= a^2 INT [dx e^(-ax) e^(-az) e^(ax)]
0
z
= a^2 INT [dx e^(-az)] (Note: z is constant)
0
= a^2 e^(-az) z
The PDF of z is
s(z) = a^2 z e^(-az) z >= 0
For this problem we have a = 1/2500 and we require
2500
a^2.INT [z e^(-az) dz]
0
and integrating by parts,
= a^2 [z (-e^(-az)/a) + (1/a) INT [e^(-az) dz]]
= a [-z e^(-az) - (1/a)e^(-az)] from 0 to 1/a
= a[-(1/a)e^(-1) - (1/a)e^(-1) + (1/a)e^(0)]
= -e^(-1) - e^-1 + 1
= 1 - 2.e^(-1)
= 0.264241
- Doctor Anthony, The Math Forum
http://mathforum.org/dr.math/
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